Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(60), С. 126132 - 126147
Опубликована: Ноя. 27, 2023
Язык: Английский
Environmental Research, Год журнала: 2024, Номер 250, С. 118422 - 118422
Опубликована: Фев. 19, 2024
Язык: Английский
Процитировано
16
Applied Water Science, Год журнала: 2024, Номер 14(4)
Опубликована: Март 14, 2024
Abstract Among the various natural disasters that take place around world, flood is considered to be most extensive. There have been several floods in Buzău river basin, and as a result of this, area has chosen study area. For purpose this research, we applied deep learning machine benchmarks order prepare potential maps at basin scale. In regard 12 predictors, 205 non-flood locations were used input data into following 3 complex models: Deep Learning Neural Network-Harris Hawk Optimization-Index Entropy (DLNN-HHO-IOE), Multilayer Perceptron-Harris (MLP-HHO-IOE) Stacking ensemble-Harris (Stacking-HHO-IOE). The sample was divided training (70%) validating (30%) sample, meanwhile prediction ability conditioning factors tested through Correlation-based Feature Selection method. ROC Curve statistical metrics involved results validation. modeling process stated algorithms showed important predictors are represented by: slope (importance ≈ 20%), distance from 17.5%), land use 12%) TPI 10%). importance values compute susceptibility, while Natural Breaks method classify results. high very susceptibility spread on approximately 35–40% zone. Curve, terms Success, Rate shows highest performance achieved FPI DLNN-HHO-IOE (AUC = 0.97), followed by Stacking-HHO-IOE 0.966) MLP-HHO-IOE 0.953), Prediction indicates being performant model with an AUC 0.977, 0.97) 0.924).
Язык: Английский
Процитировано
14
Geocarto International, Год журнала: 2024, Номер 39(1)
Опубликована: Янв. 1, 2024
Groundwater is an essential natural resource that sustains numerous ecological systems and human lifestyles. The Jhargram district facing persistent groundwater development issues, requiring comprehensive monitoring planning, as most farmers heavily rely on for crop production. potential zone of the was classified into five classes, viz., very high (5.82%), (50.81%), moderate (30.33%), low (13.01%), (0.03%), zones, respectively. results were assessed validity using ROC curves, which demonstrated accuracy rate 80.4%. calculation AUC performed in order to assess overall predicted GWPZ. GWPZ map crucial implementing artificial recharge structures like percolation ponds, bunds trenching semi-arid regions. It aids developing sustainable management policies, mitigating drought, climate change, water scarcity, aiding farmers, regional planners, policy-makers, change experts, local governments.
Язык: Английский
Процитировано
11
Discover Sustainability, Год журнала: 2024, Номер 5(1)
Опубликована: Окт. 25, 2024
Water scarcity occurs in the agriculturally dominated Upper catchment area of Narmada River, Central India because overexploitation underground water for residential, industrial, and other uses. Delineating Ground Potential Zone (GWPZ) is critical to meeting area's demand. Finding River groundwater potential zone primary goal this study. The study uses geographical methodologies based on Analytical Hierarchical Process (AHP). To create a GWPZ map, ArcGIS 10.4 software compiles eight thematic layers, including elevation, slope, drainage density, geology, rainfall, soil texture, modified normalized difference index, topographic wetness land use/cover. There are five classifications use cover map: Very low, moderate, high, high. Each theme map was given weight its unique attributes contribution GWP capacity. AHP method, which takes into account each layer's relative relevance regarding others, used establish weights. Four groups were created from resulting excellent, good, poor. According study, 26.05% basin categorized as 34.59% 23.97% 15.4% poor potential.The results further indicate that sizable section Basin has well moderate potential, pointing encouraging prospects sustainable use. offers crucial insights planners policymakers conscientiously harness resources, fostering development across diverse fragile upper Narmada, it serves model simulation sensitive river basins. implications geared towards enhancing prospects, revitalizing riverine ecosystems, achieving target outlined Goal 6 Sustainable Development Goals (SDGs) 2030.
Язык: Английский
Процитировано
7
Journal of Environmental Science and Health Part C, Год журнала: 2024, Номер unknown, С. 1 - 34
Опубликована: Дек. 22, 2024
Nitrate contamination in drinking water poses significant health risks, particularly rapidly urbanizing areas of developing countries. This study presents an integrated computational and graphical approach to evaluate the geochemistry risks nitrate-contaminated for six age groups Southeast, Nigeria. The research employed a detailed methodology combining nutrient pollution index (WNPI), nitrate (NPI), (WPI), geochemical plotting techniques, stoichiometry, risk computations. Water samples from several locations were analyzed physicochemical parameters concentrations. Results revealed predominantly acidic conditions varying levels contamination. Geochemical analysis indicated that silicate weathering ion exchange processes primary influences on chemistry. WPI identified 14.29% as "extremely polluted" (WPI > 1), while WNPI classified 7.14% "moderately (WNPI 1). However, NPI categorized safe, indicating low inputs anthropogenic sources. Health assessments low-moderate with highest total hazard 0.839 6-12 months group; thus, higher vulnerability infants. Oral exposure was found be dominant pathway, contributing over 99.90% risk. provides crucial insights achieving Sustainable Development Goals (SDGs) related quality public protection. offers robust framework resource management interventions risk-prone areas. Future should focus expanding spatial coverage, incorporating sensitivity analyses, exploring advanced technologies real-time monitoring predictive modeling quality.
Язык: Английский
Процитировано
6
Water, Год журнала: 2023, Номер 15(22), С. 3916 - 3916
Опубликована: Ноя. 9, 2023
The continuous investigation of water resources is essential to assess pollution risks. This study investigated a groundwater assessment in the coastal belt Tamil Nadu’s Kovilpatti Taluk, Thoothukudi district. Twenty-one samples were collected during pre-monsoon and post-monsoon seasons, analyzing quality parameters, namely pH, EC, Cl−, SO42−, Ca2+, Mg2+, HCO3−, TH, Na2+, K+. Water Quality Index (WQI) was computed it observed that 5% 9% unsuitable for drinking. SAR, MHR, RSC, %Na Kelley’s index used determine irrigation suitability. Pre-monsoon shows 29% (MHR) 71% (RSC) unsuitable, 59% unsuitable. Coastal activity, urbanization, industrialization resulted degradation quality. Solving this issue requires sustainable wastewater treatment strict industrial discharge guidelines. Spatial distribution plots, Box Gibbs Piper Wilcox plots Correlation Matrices had similar results WQI its physical–chemical parameters. According human health risk assessment, Mooppanpatti, Illuppaiurani, Vijayapuri regions show high risks due nitrate fluoride concentration groundwater. Kadambu, Melparaipatti, Therkuilandhaikulam, Vadakku Vandanam have low levels, posing minimal risk.
Язык: Английский
Процитировано
10
Опубликована: Янв. 11, 2025
The present study is based on irrigation suitability for groundwater samples in the Khelna river basin, Chhatrapati Sambhajinagar (Aurangabad), Maharashtra, India.A total 50 sample were collected, out of 16 collected from bore well and 34 dug wells high quality one litter polyethylene bottles different locations within area.The water parameters like sodium adsorption ratio (SAR), Percent (%Na), Residual carbonate (RSC), Sodium Bicarbonate (RSBC), Kelly's (KR), Magnesium
Язык: Английский
Процитировано
0
Water Environment Research, Год журнала: 2025, Номер 97(2)
Опубликована: Фев. 1, 2025
In the semiarid river basin of south India, present study focuses on appropriateness water for drinking and irrigation as well risks to human health posed by pollutants. A total 68 groundwater samples were evaluated consumption purposes. With a high electrical conductivity peaking at 3430 μS/cm an alkaline composition, has salinity poor quality. Durov's figure displays trend along dissolution or mixing line identifies geochemical facies samples. According quality indexes, majority are categorized unfit (26.47%), extremely bad (36.76%), (26.47%). elemental concentrations, data grouped into three clusters using hierarchical cluster analysis. geographical distribution, nitrate levels safe over about 320.25 km2 dangerous 121.10 km2, whereas fluoride 293.92 147.43 km2. About 50.65 14.70% samples, fell no restriction category irrigation, indicating acceptable standards. Low sodium in soils indicated parameters like SAR, %Na, PI, RSC, MR, KR; SAR values fall C2S1, C3S1, C4S1 categories. Doneen's diagram, 70.5% had PI >75, suitability; Wilcox diagram classified 22.05% excellent 69.11% good permissible irrigation. risk assessment, 75% babies, 63% children, teens, 54% adults have THI >1 fluoride. 45% newborns, 42% kids, teenagers, 29% nitrate. Infants, teenagers danger. order safeguard against nitrate, emphasizes necessity efficiently managing resources, lowering agricultural pollution, assuring clean water. PRACTITIONER POINTS: area, 79.25 based DWQI. Based IWQI, 70.33 area is recognized suitable practices. Geogenic anthropogenic activities contribute pollution THI, infants children more prone contamination.
Язык: Английский
Процитировано
0
Archives of Computational Methods in Engineering, Год журнала: 2025, Номер unknown
Опубликована: Март 19, 2025
Язык: Английский
Процитировано
0
Environmental Science and Pollution Research, Год журнала: 2025, Номер unknown
Опубликована: Май 14, 2025
Язык: Английский
Процитировано
0